April 22, 2013

The decision learning curve

Making good decisions is an iterative process. It is a skill that although uses analytical tools it can require some time to learn. It would be very useful to reflect on the decision making process and methods to understand what went wrong to avoid it and what went right to keep it. By continuously following this process the human decision capabilities can improve.

This is important as those analytical skills require practise to be performed in a competitive level. Moreover, with reflection the decision maker can become aware of personal preferences, heuristics and biases.

In my work we keep a log of snags using a software as a part of lessons learned. It would be very useful to document the decision making process to allow the department not just to gain knowledge on how a certain fault is rectified but to record how robust decisions and analyses are carried out to meet the system operations objectives in terms of decision making.

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Most recent comments

  • Good point, you dont have to consider it while using the decision tree as the available data is limi… by Ahmed Alali on this entry
  • Good point Bu Salim. However, i failed to mention that a decision objective is linked to the busines… by Ahmed Alali on this entry
  • I do agree with you Ahmed that certain modification enhance GA performance, however, even if someone… by Waddah Alharthi on this entry
  • as u said, the time scaling and sentivity need to be taken into account… i agree but do u think in… by Tzu-i Yang on this entry
  • i agree with u … choosing tools is not easy… we might fall into trap info….it was whyi decisio… by Tzu-i Yang on this entry

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